I see a few people sharing incorrect details in the comments so I figured I'd echo some details.
'hyprctl output create headless'
This creates a headless monitor. You can verify this with:
'hyprctl monitors'
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
I see a few people sharing incorrect details in the comments so I figured I'd echo some details.
'hyprctl output create headless'
This creates a headless monitor. You can verify this with:
'hyprctl monitors'
This is not a proposal. This documents existing but hidden functionality found in Claude Code v2.1.19 binary, plus speculation on how it could be used.
TeammateTool already exists in Claude Code. We extracted this from the compiled binary at ~/.local/share/claude/versions/2.1.19 using strings analysis. The feature is fully implemented but gated behind feature flags (I9() && qFB()).
Companion prompts for the video: OpenClaw after 50 days: 20 real workflows (honest review)
These are the actual prompts I use for each use case shown in the video. Copy-paste them into your agent and adjust for your setup. Most will work as-is or the agent will ask you clarifying questions.
Each prompt describes the intent clearly enough that the agent can figure out the implementation details. You don't need to hand-hold it through every step.
My setup: OpenClaw running on a VPS, Discord as primary interface (separate channels per workflow), Obsidian for notes (markdown-first), Coolify for self-hosted services.
Note
This does not works in browser for quests which require you to play a game! Use the desktop app to complete those.
How to use this script:
Console tab| /* | |
| * Device Tree overlay for fbtft drivers | |
| */ | |
| /dts-v1/; | |
| /plugin/; | |
| / { | |
| compatible = "brcm,bcm2835"; |
| name | description | user_invocable |
|---|---|---|
codex-review |
Send the current plan to OpenAI Codex CLI for iterative review. Claude and Codex go back-and-forth until Codex approves the plan. |
true |
Send the current implementation plan to OpenAI Codex for review. Claude revises the plan based on Codex's feedback and re-submits until Codex approves. Max 5 rounds.